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Difference decay function

Table 4. Overall gas oil cracking kinetic constant for the 3-lump model using 3 different decay functions (feedstock A with Octacat catalyst)... Table 4. Overall gas oil cracking kinetic constant for the 3-lump model using 3 different decay functions (feedstock A with Octacat catalyst)...
Of course, the distinction between reactive- and bound-state wave functions becomes blurred when one considers very long-lived reactive resonances, of the sort considered in Section IV.B, which contain Feynman paths that loop many times around the CL Such a resonance, which will have a very narrow energy width, will behave almost like a bound-state wave function when mapped onto the double space, since e will be almost equal to Fo - The effect of the GP boundary condition would be therefore simply to shift the energies and permitted nodal structures of the resonances, as in a bound-state function. For short-lived resonances, however, Te and To will differ, since they will describe the different decay dynamics produced by the even and odd n Feynman paths separating them will therefore reveal how this dynamics is changed by the GP. The same is true for resonances which are long lived, but which are trapped in a region of space that does not encircle the Cl, so that the decay dynamics involves just a few Feynman loops around the CL... [Pg.38]

Fig. 1.15 Left propagator for unrestricted self- tained in an experiment, 5(q), plotted semi-diffusion. The propagator P(R, A) is shown for logarithmically over q2. In this representation, increasing encoding times A and becomes the slope of the decaying function is equal to broader with increasing A, while its intensity at (4 jt)2AD, so that the diffusion coefficient D zero displacement is reduced due to the re- can be obtained directly by comparing at least quirement that the area remains normalized to two measurements taken at different values unity. Right signal function as would be ob- of q. Fig. 1.15 Left propagator for unrestricted self- tained in an experiment, 5(q), plotted semi-diffusion. The propagator P(R, A) is shown for logarithmically over q2. In this representation, increasing encoding times A and becomes the slope of the decaying function is equal to broader with increasing A, while its intensity at (4 jt)2AD, so that the diffusion coefficient D zero displacement is reduced due to the re- can be obtained directly by comparing at least quirement that the area remains normalized to two measurements taken at different values unity. Right signal function as would be ob- of q.
It is interesting to note that the fast emission dynamics of Ag(0) (shown in Figure 21.7) differs from that of Au(0) j [101]. The decay curve for (Au(0) j could be reasonably fit by a two-exponential decay function with time constants of 74 fs, 5.5 ps and relative amplitudes 0.95, 0.05, respectively (best fit curve shown in Figures 21.5 and 21.7). The Ag nanoparticles initial (71 fs with 0.91 amplitude) and final (5.3 ps with 0.01 amplitude) decay components were similar to those of gold however, an additional component of 650 fs (with 0.08 ampli-... [Pg.535]

Mathematically these are radically different functions. Du Di, and D3 are all double exponential decays, but their preexponential factors deviate radically and the lifetimes differ noticeably. The ratio of preexponentials for the fast and slow components vary by a factor of 16 D has comparable amplitudes, while D2has a ratio of short to long of 4, and D3 has a ratio of short to long of 1/4. D4 is a sum of three exponentials. All five functions vary from a peak of about 104 to 25, and all four functions, if overlaid, are virtually indistinguishable. To amplify these differences, we assume that the Gaussiandistribution, Da, is the correct decay function and then show the deviations of the other functions from Do. These results are shown in Figure 4.10. The double exponential D fits the distribution decay essentially perfectly. Even Dj and Ds are a very crediblefit. >4 matches Do so well that the differences are invisible on this scale, and it is not even plotted. [Pg.96]

The rotational relaxation of DNA from 1 to 150 ns is due mainly to Brownian torsional (twisting) deformations of the elastic filament. Partial relaxation of the FPA on a 30-ns time scale was observed and qualitatively attributed to torsional deformations already in 1970.(15) However, our quantitative understanding of DNA motions in the 0- to 150-ns time range has come from more accurate time-resolved measurements of the FPA in conjunction with new theory and has developed entirely since 1979. In that year, the first theoretical treatments of FPA relaxation by spontaneous torsional deformations appeared. 16 171 and the first commercial synch-pump dye laser systems were delivered. Experimental confirmation of the predicted FPA decay function and determination of the torsional rigidity of DNA were first reported in 1980.(18) Other labs 19 21" subsequently reported similar results, although their anisotropy formulas were not entirely correct, and they did not so rigorously test the predicted decay function or attempt to fit likely alternatives. The development of new instrumentation, new data analysis techniques, and new theory and their application to different DNAs in various circumstances have continued to advance this field up to the present time. [Pg.139]

Fig. 4.1 a Typical time evolution of a given correlation function in a glass-forming system for different temperatures (T >T2>...>T ), b Molecular dynamics simulation results [105] for the time decay of different correlation functions in polyisoprene at 363 K normalized dynamic structure factor at the first static structure factor maximum solid thick line)y intermediate incoherent scattering function of the hydrogens solid thin line), dipole-dipole correlation function dashed line) and second order orientational correlation function of three different C-H bonds measurable by NMR dashed-dotted lines)... [Pg.68]

Figure 3.S Two different autocorrelation functions. The solid curve is for a property that shows no significant statistical noise and appears to be well characterized by a single decay time. The dashed curve is quite noisy and, at least initially, shows a slower decay behavior. In the absence of a very long sample, decay times can depend on the total time sampled as well... Figure 3.S Two different autocorrelation functions. The solid curve is for a property that shows no significant statistical noise and appears to be well characterized by a single decay time. The dashed curve is quite noisy and, at least initially, shows a slower decay behavior. In the absence of a very long sample, decay times can depend on the total time sampled as well...
The three forms of Pr differing in molecular weight exhibit very similar photophysical and photochemical properties [7,113,114], regarding the shape of the stationary red fluorescence and excitation spectra, the triexponential emission decay function and its component composition, the emission parameters (cf. tJ, 3>f(expti.corr) cf- also Aussenegg et al. [139]), the heat release (a) by the P and I700 species, and the total photochemical quantum yield ( r-/r) (Table 1). [Pg.259]

The rise time of the A fluorescence differs from a convolution (C,) of the exponential A decay with the experimental decay function of the precursor B fluorescence manifesting a time-dependent rate constant. This is nicely shown in Fig. 2.19 on a picosecond time scale, where these effects are especially strong. The rise of the A fluorescence is significantly faster than the rise of C,. In contrast, similar rise times would be expected if a nB population proportional to i (t) were feeding the A state with a time-independent rate constant.78,79 In Section IV, a more-detailed analysis of the results will derive the explicit time dependence of k(t). It turns out that, for early times, k(t) possesses a maximum. In Section V, the experimental implications will be discussed. [Pg.36]

Once the scaling relation of Eq. (39) is known, the molar mass distribution can, at least in principle, be obtained from a Laplace inversion of the multi-exponential decay function as defined in Eq. (40). At this point, the differences between PCS and TDFRS stem mainly from the different statistical weights and from the uniform noise level in heterodyne TDFRS, which does not suffer from the diverging baseline noise of homodyne PCS caused by the square root in Eq. (38). [Pg.28]

In the PFPE Zdol model, due to the polarity of endgroups induced by the hydroxyl group, the atomistic interaction is different from that in backbone beads. Here, the polarity interaction is assumed to occur within a short range, and is modeled as an exponential decay function. The potential function among endbeads is... [Pg.45]

Despite the complexity of the decay functions generated from consideration of the hierarchical motion of the chain segments, a more phenomenological approach has met with some success. In concentrated solution (C > C ), or in the molten state when the molar mass is greater than the critical mass for entanglements, there is often observed two separate decays with largely-different time constants of decay ... [Pg.502]

A refined model can be written to describe deactivation by diffusion and fouling within a catalyst pellet or crystal. Nevertheless, it cannot be used for modelling a whole reactor which demands in itself, a complex model to be solved. We propose a simple decay function which can be easily introduced in the kinetic equations of a reactor model. This function is experimentally determined. It has a physical meaning and it allows to describe different behaviours of feedstocks between pure site fouling and strong diffusional limitation by pore plugging. [Pg.255]

An example of a phenomenological decay function that has different short-and long-time asymptotic forms (with different characteristic times) can be presented as follows [38,39] ... [Pg.11]

Almost all molecular systems of interest give rise to many NMR frequencies, so that FIDs are typically complex interference patterns of a number of sine waves of differing amplitude and often of differing decay constants, T2. The unraveling of these patterns and the display of amplitude as a function of frequency (the spectrum) are usually carried out by a Fourier transformation. [Pg.60]


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